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scrabble-game/deploy/docker-compose.prod.yml
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Ilia Denisov 48b06f4594
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docs: finalize documentation to the production state
The project is live in production, so the staged-development scaffolding is removed.

- Delete the staged trackers PLAN.md and PRERELEASE.md.
- Rewrite CLAUDE.md: drop the per-stage workflow; codify the ongoing development
  principles (How we work) and the production model (Branching, CI & production):
  manual prod-deploy / prod-rollback, semver release tags, Ansible provisioning,
  expand-contract migrations.
- De-stage the living docs (README, ARCHITECTURE, TESTING, deploy/ansible, loadtest,
  platform/telegram READMEs) and the docker-compose tuning comments: drop the
  Stage N / R1-R7 / pre-release labels, keep every number and rationale, and fix the
  now-dangling PLAN.md / PRERELEASE.md references to describe the current state.
- Reword stale 'later stage' Go doc comments for subsystems that have shipped.
2026-06-22 08:33:30 +02:00

99 lines
2.5 KiB
YAML

# Production main-host overlay, applied on top of docker-compose.yml on the main host:
# docker compose -f docker-compose.yml -f docker-compose.prod.yml up -d
#
# It (1) publishes caddy 80/443 — there is no host caddy in prod, so the contour caddy
# owns the edge and does its own ACME on CADDY_SITE_ADDRESS — and the gateway bot-link
# :9443 the remote bot dials in over mTLS; and (2) retunes the baseline limits down for the
# 2 vCPU / 1.9 GiB host (GOMAXPROCS=2, smaller memory caps, shorter Prometheus
# retention). The contour launches deliberately undersized at zero players; the added
# node_exporter + Grafana watch host memory so it can be resized at Selectel when
# traffic arrives.
#
# The bot + its VPN sidecar are absent here (the telegram-local profile is not
# activated); the prod bot runs on its own host from docker-compose.bot.yml.
services:
caddy:
ports:
- "80:80"
- "443:443"
deploy:
resources:
limits:
memory: 96M
gateway:
# Prod pulls the pushed image by tag instead of building locally; the base
# build: section stays dormant because the deploy always pulls first.
image: ${REGISTRY:?set REGISTRY}/scrabble-gateway:${TAG:?set TAG}
ports:
- "9443:9443"
environment:
# 2 vCPU host: align the Go scheduler with the cgroup quota (the baseline's 3-core gateway needs 3 cores).
GOMAXPROCS: "2"
deploy:
resources:
limits:
cpus: "2.0"
memory: 384M
backend:
image: ${REGISTRY:?set REGISTRY}/scrabble-backend:${TAG:?set TAG}
deploy:
resources:
limits:
memory: 384M
postgres:
deploy:
resources:
limits:
memory: 384M
validator:
image: ${REGISTRY:?set REGISTRY}/scrabble-telegram-validator:${TAG:?set TAG}
deploy:
resources:
limits:
memory: 96M
landing:
image: ${REGISTRY:?set REGISTRY}/scrabble-landing:${TAG:?set TAG}
deploy:
resources:
limits:
memory: 64M
otelcol:
deploy:
resources:
limits:
memory: 256M
prometheus:
command:
- --config.file=/etc/prometheus/prometheus.yml
- --storage.tsdb.retention.time=7d
deploy:
resources:
limits:
memory: 256M
tempo:
deploy:
resources:
limits:
memory: 384M
grafana:
deploy:
resources:
limits:
memory: 256M
postgres_exporter:
deploy:
resources:
limits:
memory: 64M